GPU Programmer - Remote

YO AI Labs View all jobs
Washington, DC, United States
14 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $200,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence C++ (Programming Language) Nvidia CUDA OpenGL Shading Language Mainframes Performance Tuning Scientific Computating Graphics Processing Unit (GPU) Large Language Models Gpu Programming

Job description

Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL. Profile and optimize GPU kernels and shaders for performance and efficiency. Develop host-side logic and GPU integrations using C++. Create GPU-focused tasks and solutions for AI/LLM applications. Analyze performance bottlenecks and implement optimization strategies., Analytica is seeking a remote z/OS Mainframe Programmer to support a long standing federal government project. The candidate will be responsible for designing and implementing dyna…

  • 29 days ago
  • Apply easily +

Requirements

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions., Strong experience with GPU programming, particularly on NVIDIA GPUs. Proficiency in CUDA, WebGPU, or GLSL. Strong C++ programming skills. Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields. Strong understanding of GPU architecture and performan

Benefits & conditions

Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance Title: CNC PROGRAMMER / MILL OPERATOR Location: Merritt Island, FL (On-site) Compensati…

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:30 min

Exploring the Python-enabled GPU programming software stack

Paul Graham Paul Graham · World Congress 2026 Europe

6:21 min

Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

4:40 min

Analyzing COBOL mainframe migration challenges with AI

Michael Friedrich Michael Friedrich · World Congress 2026 Europe

48 sec

Transitioning from scaling GPU workloads to building coding agents

Alex Laubscher Alex Laubscher · World Congress 2025

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · World Congress 2026 Europe

3:32 min

Evolution of general purpose GPU computing and Python

Paul Graham Paul Graham · World Congress 2025

Videos

See all

Related articles

See all